code: def decode_token(token):
      return str(chr(max(32, token)))
  
file_path: mixture-of-attention/train.py
imports: import gzip
  import random
  import tqdm
  import numpy
  import torch
  from torch.optim import Adam
  from torch.nn import functional
  from torch.utils.data import DataLoader, Dataset
  from mixture_of_attention.transformer import Transformer
  from mixture_of_attention.autoregressive_wrapper import AutoregressiveWrapper
label_desc: Use image node_id 2 for calling a global function with example usage: decode_token(token) and returns: str